Description

Book Synopsis

An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language

R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists is a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world.

The content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors' experience.

Readers of this introductory text will find:

  • Explanations of statistical concepts in simple, easy-to-understand language
  • A variety of approaches to problem solving using both base R and tidyverse

Rticulate

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£81.86

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RRP £90.95 – you save £9.09 (9%)

Order before 4pm today for delivery by Tue 23 Dec 2025.

A Hardback by Martin Bader

15 in stock


    View other formats and editions of Rticulate by Martin Bader

    Publisher: John Wiley & Sons Inc
    Publication Date: 6/26/2024
    ISBN13: 9781119717997, 978-1119717997
    ISBN10: 111971799X

    Description

    Book Synopsis

    An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language

    R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists is a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world.

    The content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors' experience.

    Readers of this introductory text will find:

    • Explanations of statistical concepts in simple, easy-to-understand language
    • A variety of approaches to problem solving using both base R and tidyverse

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